Start Date

November 2016

End Date

November 2016

Location

HUB 379

Type of Presentation

Oral Talk

Abstract

The integration of UAVs in the National Airspace is an exciting topic and a major challenge. Many commercial applications such as package delivery, aerial photography, precision agriculture, et cetera await the mass integration of UAVs into the NAS. Safety is the number one concern for the integration of UAV’s into the NAS. UAVs need to be able to avoid each other and other obstacles over the course of their flights. Collision avoidance algorithms allow for UAVs to fly without constant user input. Implementation of such algorithms would allow UAVs to fly safely around obstacles, increasing the safety of vehicles, property, and other manned and unmanned aircraft greatly. Large scale operations involving UAVs in the civilian airspace has yet to be approved by FAA. This presentation talks about the implementation of collision avoidance algorithms for unmanned aerial vehicles (UAVs) using ADS-B sensors or ADS-B like solution for collision detection. The algorithm is tested in both simulation and flight tests. Simulation environment uses flight dynamics model of the UAVs. Both hardware-in-the-loop and software-in-the-loop simulations are utilized. The UAVs are equipped with Pixhawk autopilot for autonomous flight. An Intel Nuc processor board is used for the implementation of the collision avoidance algorithm. The board communicates with the autopilot, and sends the avoidance way-points that the UAVs fly to after collision avoidance maneuver. Simulation and flight test results will be shown.

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Nov 12th, 2:30 PMNov 12th, 2:45 PM

UAV Collision Avoidance and ADS-B Sensor Application

HUB 379

The integration of UAVs in the National Airspace is an exciting topic and a major challenge. Many commercial applications such as package delivery, aerial photography, precision agriculture, et cetera await the mass integration of UAVs into the NAS. Safety is the number one concern for the integration of UAV’s into the NAS. UAVs need to be able to avoid each other and other obstacles over the course of their flights. Collision avoidance algorithms allow for UAVs to fly without constant user input. Implementation of such algorithms would allow UAVs to fly safely around obstacles, increasing the safety of vehicles, property, and other manned and unmanned aircraft greatly. Large scale operations involving UAVs in the civilian airspace has yet to be approved by FAA. This presentation talks about the implementation of collision avoidance algorithms for unmanned aerial vehicles (UAVs) using ADS-B sensors or ADS-B like solution for collision detection. The algorithm is tested in both simulation and flight tests. Simulation environment uses flight dynamics model of the UAVs. Both hardware-in-the-loop and software-in-the-loop simulations are utilized. The UAVs are equipped with Pixhawk autopilot for autonomous flight. An Intel Nuc processor board is used for the implementation of the collision avoidance algorithm. The board communicates with the autopilot, and sends the avoidance way-points that the UAVs fly to after collision avoidance maneuver. Simulation and flight test results will be shown.